Intelligent Real-Time Multimodal Fall Detection in Fog Infrastructure Using Ensemble Learning (English)
- New search for: Divya, V.
- New search for: Leena Sri, R.
- New search for: Ponce, Hiram
- New search for: Martínez-Villaseñor, Lourdes
- New search for: Brieva, Jorge
- New search for: Moya-Albor, Ernesto
- New search for: Divya, V.
- New search for: Leena Sri, R.
In:
Challenges and Trends in Multimodal Fall Detection for Healthcare
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Chapter: 3
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53-79
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2020
- Article/Chapter (Book) / Electronic Resource
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Title:Intelligent Real-Time Multimodal Fall Detection in Fog Infrastructure Using Ensemble Learning
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Additional title:Studies in Systems, Decision and Control
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Contributors:Ponce, Hiram ( editor ) / Martínez-Villaseñor, Lourdes ( editor ) / Brieva, Jorge ( editor ) / Moya-Albor, Ernesto ( editor ) / Divya, V. ( author ) / Leena Sri, R. ( author )
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Published in:Challenges and Trends in Multimodal Fall Detection for Healthcare ; Chapter: 3 ; 53-79Studies in Systems, Decision and Control ; 273 ; 53-79
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2020-01-29
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Size:27 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Open Source Implementation for Fall Classification and Fall Detection SystemsPonce, Hiram / Martínez-Villaseñor, Lourdes / Núñez-Martínez, José / Moya-Albor, Ernesto / Brieva, Jorge et al. | 2020
- 2
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Detecting Human Activities Based on a Multimodal Sensor Data Set Using a Bidirectional Long Short-Term Memory Model: A Case Studyde Assis Neto, Silvano Ramos / Santos, Guto Leoni / da Silva Rocha, Elisson / Bendechache, Malika / Rosati, Pierangelo / Lynn, Theo / Takako Endo, Patricia et al. | 2020
- 3
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Intelligent Real-Time Multimodal Fall Detection in Fog Infrastructure Using Ensemble LearningDivya, V. / Leena Sri, R. et al. | 2020
- 4
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Wearable Sensors Data-Fusion and Machine-Learning Method for Fall Detection and Activity RecognitionGjoreski, Hristijan / Stankoski, Simon / Kiprijanovska, Ivana / Nikolovska, Anastasija / Mladenovska, Natasha / Trajanoska, Marija / Velichkovska, Bojana / Gjoreski, Martin / Luštrek, Mitja / Gams, Matjaž et al. | 2020
- 5
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Application of Convolutional Neural Networks for Fall Detection Using Multiple CamerasEspinosa, Ricardo / Ponce, Hiram / Gutiérrez, Sebastián / Martínez-Villaseñor, Lourdes / Brieva, Jorge / Moya-Albor, Ernesto et al. | 2020
- 6
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Approaching Fall Classification Using the UP-Fall Detection Dataset: Analysis and Results from an International CompetitionPonce, Hiram / Martínez-Villaseñor, Lourdes et al. | 2020
- 7
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Classification of Daily Life Activities for Human Fall Detection: A Systematic Review of the Techniques and ApproachesNizam, Yoosuf / Jamil, M. Mahadi Abdul et al. | 2020
- 8
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An Interpretable Machine Learning Model for Human Fall Detection Systems Using Hybrid Intelligent ModelsSouza, Paulo Vitor C. / Guimaraes, Augusto J. / Araujo, Vanessa S. / Batista, Lucas O. / Rezende, Thiago S. et al. | 2020
- 9
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Multi-sensor System, Gamification, and Artificial Intelligence for Benefit Elderly PeopleMéndez, Juana Isabel / Mata, Omar / Ponce, Pedro / Meier, Alan / Peffer, Therese / Molina, Arturo et al. | 2020
- 10
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A Novel Approach for Human Fall Detection and Fall Risk AssessmentNizam, Yoosuf / Jamil, M. Mahadi Abdul et al. | 2020